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CS@max planck is a highly selective doctoral program that grants admitted students full financial support to pursue doctoral research in the broad area of computer and information science, with
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experimental soft matter research a supportive and enthusiastic atmosphere in-depth training in interdisciplinary soft matter science individual supervision and mentoring a PhD student mobility program with
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) is considered valuable for integrating perception with control during deployment. Your Profile: Current master studies in physics, computer mathematics, electrical/electronic engineering or a related
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, enrichment analyses - biological interpretation of data Your qualification - PhD/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq
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Life Sciences with a focus on molecular plant physiology, biochemistry, and structural biology, as well as molecular membrane biology, the international Master FOKUS Life Sciences program, the
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), the University Hospital Cologne, the Max Planck Institute for Biology of Ageing and the Max Planck Institute for Metabolism Research. Cologne has emerged as a leading global research cluster with a stellar
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for scientists in cooperation with the IT group at COS Training of users Your profile: Completed scientific higher education, (Master′s degree or university diploma) in the field of computer science, e. g
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to the table Enrolled in a Bachelor’s or Master’s program in computer science, data science, or related field Proficient in Python with an understanding of modern ML workflows Interest in applied machine
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: A completed university degree (Master or equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep
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Research Assistant (m/f/d) in the field of Theoretical Ecology and Evolution or Computational Biolog
Evolution or Computational Biology (salary grade 13 TV-L, 100%) to commence on January 1, 2026. The position will initially be filled for three years. In case of a positive evaluation, the position can be